I am a research scientist at Meta Reality Labs. I received my Doctorate from University of California, San Diego, advised by Prof. Manmohan Chandraker. Before that, I received my Bachelor's degree from Tsinghua University, advised by Prof. Jiansheng Chen. Throughout my studies, I was also fortunate to be mentored by Prof. Ravi Ramamoorthi, Kalyan Sunkavalli, Miloš Hašan, Zhao Dong, and Prof. Olga Veksler.
My research interest is in inverse rendering, scene understanding, neural rendering and 3D foundation models. I am honored to receive Powell Fellowship (2016), Qualcomm Innovation Fellowship (2020), and UCSD CSE Best Doctoral Dissertation Award (2022).
Internships at Meta: Please feel free to send me your CV and research interest to my personal email (lizhengqin2012-at-gmail-dot-com) or company email (zhl-at-meta-dot-com).
Selected Publications
TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion, CVPR 2024
Spatiotemporally Consistent HDR Indoor Lighting Estimation, ACM Transaction on Graphics (Present in SIGGRAPH Asia 2023)
Zhengqin Li, Li Yu, Mikhail Okunev, Manmohan Chandraker, Zhao Dong
[project page][paper][video]
Efficient Graphics Representation with Differentiable Indirection, SIGGRAPH Asia 2023 (Conference track)
Sayantan Datta, Carl Marshall, Zhao Dong, Zhengqin Li, Derek Nowrouzezahrai
[project page][paper][video]
Neural-PBIR Reconstruction of Shape, Material, and Illumination, ICCV 2023 (Best relighting results on the Stanford-ORB dataset)
Cheng Sun*, Guangyan Cai*, Zhengqin Li, Kai Yan, Cheng Zhang, Carl Marshall, Jia-Bin Huang, Shuang Zhao, Zhao Dong (*Equal contribution)
Physically-based editing of indoor scene lighting from a single image, ECCV 2022 (Oral presentation)
Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
[project page][paper][code][video]
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes, CVPR 2022 (Oral presentation)
Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker
[project page][paper][code]
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes, CVPR 2022
Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Miloš Hašan, Kalyan Sunkavalli, Manmohan Chandraker
[project page][paper][code][video]
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets, CVPR 2021 (Oral presentation)
Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image, CVPR 2020 (Oral presentation)
Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker
[project page][paper][dataset][code]
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes, CVPR 2020 (Oral presentation)
Zhengqin Li*, Yu-Ying Yeh*, Manmohan Chandraker (*Equal contribution)
[project page][paper][dataset][code]
Learning to Reconstruct Shape and Spatially-Varying Reflectance with a Single Image, SIGGRAPH Asia 2018
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker
[project page][paper][dataset][code]
Learning to See through Turbulent Water, WACV 2018
Zhengqin Li*, Zachary Murez*, David Kriegman, Ravi Ramamoorthi, Manmohan Chandraker (*Equal contribution)
[project page][paper][dataset][code]
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields, CVPR 2017
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
Zhengqin Li, Jiansheng Chen
Doctoral Dissertation
Physically-Motivated Learning For Photorealistic Scene Reconstruction and Editing in the Wild (UCSD CSE Best Dcotoral Dissertation Award)
Advisor: Prof. Manmohan Chandraker
Others
Weakly Supervised Semantic Segmentation Using Graph-cut (Tsinghua EE Outstanding Bachelor's Thesis Award)
Advisor: Prof. Jiansheng Chen
[paper]
A Report on Double Expansion: Definition, Algorithm and Properties (Part of theoretical results included in BMVC 2017)
Zhengqin Li, Olga Veksler
[paper]
Previous interns: Cheng Sun (Now at Nvidia Research), Yu-Ying Yeh
Honors and Awards
2022 Best Doctoral Dissertation Award, UC San Diego
2021 CVPR, ICCV Outstanding Reviewer Awards, UC San Diego
2020 Qualcomm Innovation Fellowship, UC San Diego
2019, 2020 Adobe Fellowship finalist, UC San Diego
2016 Powell Fellowship, UC San Diego
2016 Outstanding Bachelor's Thesis, Tsinghua University
2012-2016 Academic Excellence Awards, Tsinghua University